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Imperial Valley Spatial Data Infrastructure Project.

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Presentation on theme: "Imperial Valley Spatial Data Infrastructure Project."— Presentation transcript:

1 Imperial Valley Spatial Data Infrastructure Project

2 Meeting Objectives Redlands Institute: Recap of Project Objectives and Process Review Preliminary GIS Database Review prototype web-based tools Document your feedback Participants: Provide comments on the design, content and end user functionality of the system Possible one-on-one meetings to implement suggested changes

3 Project Objectives Develop GIS database and tools that support non- point source pollution management in the Imperial Valley Primarily for Sediment TMDL implementation Recognize that the GIS could benefit science/research community as well

4 Imperial Valley SDI Project Tasks Conduct needs assessment and requirements analysis Develop TMDL Geodatabase Develop TMDL Analysis Tools and Models Conduct orientation seminar Develop Web-based Application Prepare Outreach Materials and Support Future Data Collection and Analysis Techniques Final Reports

5 What is Spatial Data Infrastructure? SDI as a principle recognizes GIS data as a fundamental infrastructure component for national or regional development SDIs are built around ‘communities’ with a common interest/objective and use the internet to share ‘fundamental’ information and tools Users access SDI resources (GIS databases, models, outreach materials) through a web browser Institutional policies, procedures and standards to manage how information is shared/used is critical to long term success

6 Anticipated Outcomes More efficient use of existing information Increased use of monitoring and related data for NPS management/research Better data access/quality Standard methods for collecting, formatting and reporting water quality related data Policies and procedures to guide how data is collected, shared and used

7 Database Development Process Stakeholder Survey Bureau of Reclamation Department of Pesticide Regulation California Department of Water Resources State Water Resources Control Board Imperial County Agricultural Commission Imperial County Farm Bureau Imperial Irrigation District International Boundary and Waters Commission Regional Water Quality Control Boards (3, 5, 7) Salton Sea Authority University of California Davis Cooperative Extension Bureau of Reclamation Department of Pesticide Regulation California Department of Water Resources State Water Resources Control Board Imperial County Agricultural Commission Imperial County Farm Bureau Imperial Irrigation District International Boundary and Waters Commission Regional Water Quality Control Boards (3, 5, 7) Salton Sea Authority University of California Davis Cooperative Extension

8 Database Development Process Stakeholder Survey Data Inventory and Assessment Over 300 Unique Datasets Identified

9 Database Development Process Stakeholder Survey Data Inventory and Assessment Data Compilation/ Conversion Sample MethodTypeSubtypeConstituent/ParameterField NameUnits Sample FrequencyLocationStart DateEnd DateYearsRecordsFeatures Water extractHydrologicFlow Value_cubic feet/sec Water extractHydrologicWater Flow Alamo at Inatl Boundary in cubic m/scubic m/sDailyBorder Water extractHydrologicWater Flow New at Inatl Boundary in cubic m/scubic m/sDailyBorder Water extractHydrologicFlowDischarged Salton Sea Water extractHydrologicFlowFlow (Monthly sum)Monthly_Flcubic feet/secSalton Sea Water extractPhysical/ChemicalOtherAccute ToxicityAccute_ToxVariesSalton Sea Water extractPhysical/ChemicalGeneralAlkalinity VariesSalton Sea Water extractPhysical/ChemicalNutrientsAmmonia VariesSalton Sea Water extractOrganismsBacterialAntero-cocciAntero_CocVariesSalton Sea Water extractOrganismsOtherOther BiologyBio_OtherVariesSalton Sea Water extractPhysical/ChemicalOtherBiochemical Oxygen DemandBODVariesSalton Sea Bot_SedVariesSalton Sea Water extractPesticidesCarbamates VariesSalton Sea Water extractPesticidesChlorinated HerbicidesChlor_HerbVariesSalton Sea Water extractPhysical/ChemicalOtherChronic ToxicityChronic_TOVariesSalton Sea Water extractPhysical/ChemicalGeneralWater colorColorVariesSalton Sea Water extractPhysical/ChemicalOther Dissolved Carbon Dis_CarbonVariesSalton Sea Water quality data index Fixing errors in spatial data Coding flow direction Reformatting data for GIS Creating basic metadata

10 Database Development Process Stakeholder Survey Data Inventory and Assessment Data Compilation/ Conversion Database Design/ Development Conceptual Design Physical Design Database design review

11 Database Development Process Stakeholder Survey Data Inventory and Assessment Data Compilation/ Conversion Database Design/ Development Analysis and Visualization Products Load Duration Curves Time Series Animations TSS and Turbidity Trends GIS Database Poster Statistical analysis of BMP-TSS relationships

12 Web-based GIS Stakeholder Survey Data Inventory and Assessment Data Compilation/ Conversion Database Design/ Development Analysis and Visualization Products Web-based GIS Customized reports/maps Spatial data select Data download Scroll-over display of key information Upstream/ downstream tracing Planned/ Potential Functions Current functions Additional map and report types Spatial analysis tools Statistical analysis tools Semi- automated QC Data upload/ format crosswalk

13 GIS Database Orientation Serene Ong

14 Database Design Objectives Create a sediment TMDL geospatial databaseCreate a sediment TMDL geospatial database Improve on the USGS National Hydrography Dataset (NHD) dataImprove on the USGS National Hydrography Dataset (NHD) data Incorporate local data from various agenciesIncorporate local data from various agencies Support better analysis of water quality and land management practicesSupport better analysis of water quality and land management practices Comply with the State Water Resources Control Board (SWRCB) Surface Water Ambient Monitoring Program (SWAMP) standardsComply with the State Water Resources Control Board (SWRCB) Surface Water Ambient Monitoring Program (SWAMP) standards

15 Sediment TMDL Related Data Total Suspended Solids (TSS), Turbidity, Monitoring locations (R7, IID, BOR) Surface Hydrology Network (NHD, IID) Agricultural Practices (ICFB Farm Reports) Drainsheds, Farm Plots (RI) Land ownership boundaries Owner/operator data (ICTA, IID)

16 Process of making a database compliant Obtaining the data Obtaining the data Processing the data Processing the data – Coding flow direction, Changing field names and data types so they fit into SWAMP standard fields and data types Crosswalk data from various tables Crosswalk data from various tables Include all required SWAMP tables and fields Include all required SWAMP tables and fields Create links between tables Create links between tables

17 Database – Overview

18 Hydrology Features

19 Monitoring Stations

20 Drainsheds

21 Agricultural Plots

22 Agricultural Practice Data From Imperial Country Farm Bureau : Best Management Practices Best Management Practices Site Conditions Site Conditions Crop Type Crop Type Landowner data Landowner data Drainshed Drainshed Canal name Canal name Gates Gates

23 Parcels

24 Schema diagram Water Quality Analysis Hydrology Network Features Agricultural Practices Cadastral - Owner - Operator

25 Who sampled what, where and when?

26 Web-based GIS tools Nate Strout

27 Brainstorm Focus What additional data and end- user functionality would you like to see?

28 Next Steps Web-GIS deployment/ testing Policies for data sharing/ reporting and security Outreach/ training materials Web-based GIS and TMDL analysis tools Feedback and refinement of draft GIS Process for data update and maintenance Document future data and analysis needs Training and hand-over to long-term steward

29 Thank you for your participation and ongoing support Serene Ong Nate Strout


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